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Ultrasonic image renal artery blood flow spectrum signal curve classification method

A technology of arterial blood flow and signal curves, applied in the field of image processing, can solve problems that have not been reported in the literature, and achieve the effect of improving accuracy

Inactive Publication Date: 2013-04-17
INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI +1
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Problems solved by technology

Using image processing technology to automatically analyze and classify renal artery blood flow spectrum signals is an important part of medical image processing, and no related literature reports have been seen so far

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  • Ultrasonic image renal artery blood flow spectrum signal curve classification method
  • Ultrasonic image renal artery blood flow spectrum signal curve classification method
  • Ultrasonic image renal artery blood flow spectrum signal curve classification method

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Embodiment Construction

[0026] A specific embodiment of the present invention will now be described in conjunction with the accompanying drawings.

[0027] figure 1 It is a flow chart of blood flow spectrum signal curve classification technology, including 7 steps, namely: curve extraction, curve normalization, curve smoothing, period extraction, feature calculation, support vector machine classifier training, and curve classification.

[0028] figure 2 It is a schematic diagram of Doppler ultrasound imaging. The upper part of the image is a two-dimensional image of both kidneys superimposed with the direction of blood flow and the display of related parameters measured (on the left); the area in the rectangular box in the lower part of the image is the blood flow The area where the spectrum signal is displayed. Different ultrasound Doppler imaging models have different regions of blood flow spectrum signals, and the same model has the same region of blood flow spectrum signals. The present inven...

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Abstract

The invention discloses an ultrasonic image renal artery blood flow spectrum signal curve classification method. By comprehensively using a curve extraction technique, a curve smoothing technique and a curve characteristic extraction technique in image processing, the method for blood flow spectrum signal curve classification can be used for extracting blood flow spectrum signal curves under more complex image backgrounds, the curves are accurately extracted and the classification accuracy is high. The method comprises the following steps of: firstly extracting renal artery blood flow spectrum signal curves in acquired ultrasonic Doppler images; then normalizing and smoothing the blood flow spectrum signal curves and extracting the cycles of the blood flow spectrum signal curves; computing the characteristics of the blood flow spectrum signal curves; and finally training and classifying the blood flow spectrum signal curves through a classifier according to the characteristics.

Description

technical field [0001] The present invention relates to the field of image processing, specifically applying the curve extraction technology, curve smoothing technology, and curve feature extraction technology in ultrasonic image processing to a method for classifying renal artery blood flow spectrum signal curves. Background technique [0002] Color Doppler ultrasonography is the screening tool of choice for renal artery stenosis. Doppler ultrasound technology combines direct inspection of renal arteries with Doppler measurement of renal blood flow. It can not only obtain two-dimensional structural images showing both kidneys, but also measure the length, width, and thickness of the kidneys on the images, as well as An image showing the blood flow spectrum signal of the interlobar artery of both kidneys can be obtained, and based on the blood flow spectrum signal image, the maximum peak blood flow velocity, resistance index and acceleration time of the interlobar artery can...

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Application Information

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IPC IPC(8): G06K9/66G06K9/54
Inventor 李宏益唐娉张本奎张晓东李建初
Owner INST OF REMOTE SENSING & DIGITAL EARTH CHINESE ACADEMY OF SCI
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